2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2024
Generalized Conditional Functional Principal Component Analysis
Yu Lu, Xinkai Zhou, Erjia Cui +4
We propose generalized conditional functional principal components analysis (GC-FPCA) for the joint modeling of the fixed and random effects of non-Gaussian functional outcomes. Th…
stat.ME2024
Modeling trajectories using functional linear differential equations
Julia Wrobel, Britton Sauerbrei, Erik A. Kirk +3
We are motivated by a study that seeks to better understand the dynamic relationship between muscle activation and paw position during locomotion. For each gait cycle in this exper…
stat.ME2023★ 2 cited
Fast Generalized Functional Principal Components Analysis
Andrew Leroux, Ciprian Crainiceanu, Julia Wrobel
We propose a new fast generalized functional principal components analysis (fast-GFPCA) algorithm for dimension reduction of non-Gaussian functional data. The method consists of: (…